Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Using ICLite for deconvolution of bulk transcriptional data from mixed cell populations

STAR Protocols(2021)10.1016/j.xpro.2021.100847Source: DataRank Database

Using ICLite for deconvolution of bulk transcriptional data from mixed cell populations is a research paper published in STAR Protocols (2021). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

Linked data & code

geo doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)Impact (FWCI 0.07)OA: goldTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Sally E. Wenzel ORCID,Anuradha Ray ORCID,Matthew Camiolo ORCID

Live enrichment

PubMed:34632417 PMC:PMC8488363 OpenAlex:https://openalex.org/W3202445359

National Institutes of Health

Grant: 1F32HL14741501

National Institutes of Health

Grant: P01AI106684

National Institutes of Health

Grant: R01AI048927

National Institutes of Health

Grant: R01HL113956

National Institutes of Health

Grant: U10HL109152

FWCI

0.07

Citation Percentile

0.4%

Citation Trend

2022

2025

goldLicense: cc-by-nc-nd

journalhttps://www.sciencedirect.com/science/article/pii/S2666166721005530/pdf

publisherhttps://www.sciencedirect.com/science/article/pii/S2666166721005530/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666166721005530?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166721005530?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.xpro.2021.100847

Fields of Study

Single-cell and spatial transcriptomicsGene expression and cancer classificationGene Regulatory Network AnalysisBase SequenceGene Expression ProfilingSequence Analysis, RNA

MeSH Terms

Base SequenceSequence Analysis, RNAGene Expression Profiling

Keywords

Disk formattingDeconvolutionProtocol (science)Computer scienceComputational biologyLinkage (software)RNAInterpretation (philosophy)BiologyGeneTheoretical computer scienceGeneticsAlgorithmProgramming languageSequence analysisBioinformaticssystems biologyimmunologyGene Expression

Using ICLite for deconvolution of bulk transcriptional data from mixed cell populations

FAIR Checklist

Authors (3)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)